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Approximation of nearly-periodic symplectic maps via
  structure-preserving neural networks

Approximation of nearly-periodic symplectic maps via structure-preserving neural networks

11 October 2022
Valentin Duruisseaux
J. Burby
Q. Tang
ArXivPDFHTML

Papers citing "Approximation of nearly-periodic symplectic maps via structure-preserving neural networks"

6 / 6 papers shown
Title
Enabling Automatic Differentiation with Mollified Graph Neural Operators
Enabling Automatic Differentiation with Mollified Graph Neural Operators
Ryan Y. Lin
Julius Berner
Valentin Duruisseaux
David Pitt
Daniel Leibovici
Jean Kossaifi
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
43
0
0
11 Apr 2025
Projected Neural Differential Equations for Learning Constrained
  Dynamics
Projected Neural Differential Equations for Learning Constrained Dynamics
Alistair J R White
Anna Buttner
Maximilian Gelbrecht
Valentin Duruisseaux
Niki Kilbertus
Frank Hellmann
Niklas Boers
41
0
0
31 Oct 2024
Coarse-Graining Hamiltonian Systems Using WSINDy
Coarse-Graining Hamiltonian Systems Using WSINDy
Daniel Messenger
J. Burby
David M. Bortz
46
6
0
09 Oct 2023
Lie Group Forced Variational Integrator Networks for Learning and
  Control of Robot Systems
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems
Valentin Duruisseaux
T. Duong
Melvin Leok
Nikolay Atanasov
DRL
AI4CE
29
12
0
29 Nov 2022
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
133
424
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
149
220
0
29 Sep 2019
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